Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V3
36
DeepSeek V4 Flash Base
31
Pick DeepSeek V3 if you want the stronger benchmark profile. DeepSeek V4 Flash Base only becomes the better choice if you need the larger 1M context window.
Knowledge
+17.8 difference
DeepSeek V3
DeepSeek V4 Flash Base
$0.27 / $1.1
$null / $null
N/A
N/A
N/A
N/A
128K
1M
Pick DeepSeek V3 if you want the stronger benchmark profile. DeepSeek V4 Flash Base only becomes the better choice if you need the larger 1M context window.
DeepSeek V3 is clearly ahead on the provisional aggregate, 36 to 31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V3's sharpest advantage is in knowledge, where it averages 70 against 52.2. The single biggest benchmark swing on the page is MMLU-Pro, 75.9% to 68.3%.
DeepSeek V4 Flash Base gives you the larger context window at 1M, compared with 128K for DeepSeek V3.
DeepSeek V3 is ahead on BenchLM's provisional leaderboard, 36 to 31. The biggest single separator in this matchup is MMLU-Pro, where the scores are 75.9% and 68.3%.
DeepSeek V3 has the edge for knowledge tasks in this comparison, averaging 70 versus 52.2. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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